Artificial neural networks in slope of road embankment stability applications: A review and future perspectives

Abstract

The artificial or neural network is one of the branches of the artificial intelligence method. Over the last few decades, artificial neural networks (ANNs) have been widely used to predict embankment stability. This paper will provide a detailed review of the ANN application, which is multilayer feedforward neural networks (MLFNN) in road embankment stability. A proposal for further research needs in this area is also discussed. Due to its acceptable accuracy prediction, the ANN model is widely recognized as a successful embankment stability approach. Based on the findings of this paper, it will be able to pave the way for researchers to use the ANN in predicting the stability of road embankment comprehensively.